backend/routes/interview_api.py

import os
import uuid
import json

from flask import Blueprint, request, jsonify, url_for
from flask_login import login_required, current_user

from backend.models.database import db, Job, Application
from backend.services.interview_engine import (
    generate_first_question,
    edge_tts_to_file_sync,
    whisper_stt
)


interview_api = Blueprint("interview_api", __name__)

@interview_api.route("/api/start_interview", methods=["POST"])
@login_required
def start_interview():
    data = request.get_json()
    job_id = data.get("job_id")

    job = Job.query.get_or_404(job_id)
    application = Application.query.filter_by(user_id=current_user.id, job_id=job_id).first()

    if not application or not application.extracted_features:
        return jsonify({"error": "No application/profile data found."}), 400

    try:
        profile = json.loads(application.extracted_features)
    except:
        return jsonify({"error": "Invalid profile JSON"}), 500

    question = generate_first_question(profile, job)

    audio_filename = f"q_{uuid.uuid4().hex}.wav"
    audio_path = os.path.join("static", "audio", audio_filename)
    os.makedirs(os.path.dirname(audio_path), exist_ok=True)

    edge_tts_to_file_sync(question, audio_path)

    return jsonify({
        "question": question,
        "audio_url": url_for("static", filename=f"audio/{audio_filename}")
    })

@interview_api.route("/api/transcribe_audio", methods=["POST"])
@login_required
def transcribe_audio():
    audio_file = request.files.get("audio")
    if not audio_file:
        return jsonify({"error": "No audio file received."}), 400

    filename = f"user_audio_{uuid.uuid4().hex}.wav"
    path = os.path.join("temp", filename)
    os.makedirs("temp", exist_ok=True)
    audio_file.save(path)

    transcript = whisper_stt(path)
    os.remove(path)

    return jsonify({"transcript": transcript})

@interview_api.route("/api/process_answer", methods=["POST"])
@login_required
def process_answer():
    data = request.get_json()
    answer = data.get("answer", "")
    question_idx = data.get("questionIndex", 0)

    # For now: just return a fake next question
    fake_next_question = f"Follow-up question {question_idx + 2}: Why should we hire you?"
    audio_filename = f"q_{uuid.uuid4().hex}.wav"
    audio_path = os.path.join("static", "audio", audio_filename)
    os.makedirs(os.path.dirname(audio_path), exist_ok=True)

    edge_tts_to_file_sync(fake_next_question, audio_path)

    return jsonify({
        "success": True,
        "nextQuestion": fake_next_question,
        "audioUrl": url_for("static", filename=f"audio/{audio_filename}"),
        "evaluation": {
            "score": "medium",
            "feedback": "Good answer, but be more specific."
        },
        "isComplete": question_idx >= 2,
        "summary": []  # optional: you can fill this later
    })